Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Abstract—As the number of wireless sensor network applications continues to grow, the need for specialized task scheduling mechanisms, aware of the sensor devices’ capabilities...
Tim De Pauw, Stijn Verstichel, Bruno Volckaert, Fi...
The Task Parallel Library (TPL) is a library for .NET that makes it easy to take advantage of potential parallelism in a program. The library relies heavily on generics and delega...
Daan Leijen, Wolfram Schulte, Sebastian Burckhardt
Scalability of architecture, programming model and task control management will be a major challenge for future VLSI systems. In this context, homogeneous MPSOC is a seducing appr...
Nicolas Saint-Jean, Pascal Benoit, Gilles Sassatel...
Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits th...